Citigroup Hiring for Data Analytics Analyst at Pune, India Full Time

Build data pipeline frameworks to automate high-volume and real-time data delivery for our Spark and streaming data hub

• Transform complex analytical models in scalable, production-ready solutions

• Provide support and enhancements for an advanced anomaly detection machine learning platform

• Continuously integrate and ship code into our cloud production environments

• Develop cloud based applications from the ground up using a modern technology stack

• Work directly with Product Owners and customers to deliver data products in a collaborative and agile environment

Your Responsibilities Will Include

• Developing sustainable data driven solutions with current new generation data technologies to drive our business and technology strategies

• Building data APIs and data delivery services to support critical operational and analytical applications

• Contributing to the design of robust systems with an eye on the long-term maintenance and support of the application

• Leveraging reusable code modules to solve problems across the team and organization

• Handling multiple functions and roles for the projects and Agile teams

• Defining, executing and continuously improving our internal software architecture processes

• Being a technology thought leader and strategist

Educational Qualification:

• BE/BTech/MCA degree or equivalent degree.

Required Skills :

• At least 2 years of experience on designing and developing Data Pipelines for Data Ingestion or Transformation using Java or Scala or Python

• At least 2 years of experience in the following Big Data frameworks: File Format (Parquet, AVRO, ORC), Resource Management, Distributed Processing and RDBMS

• At least 2 years of developing applications with Monitoring, Build Tools, Version Control, Unit Test, TDD, Change Management to support DevOps

• At least 2 years of experience with SQL and Shell Scripting experience

• Experience of designing, building, and deploying production-level data pipelines using tools from Hadoop stack (HDFS, Hive, Spark, HBase, Kafka, NiFi, Oozie, Apache Beam, Apache Airflow etc).

• Experience with Spark programming (pyspark or scala or java).

• Experience troubleshooting JVM-related issues.

• Experience and strategies to deal with mutable data in Hadoop.

• Experience with Stream sets.

• Familiarity with machine learning implementation using PySpark.

• Experience in data visualization tools like Cognos, Arcadia, Tableau.

Preferred Skills:

• Hands on experience on Amazon Web Services (AWS), Google Compute or another public cloud service

• experience working with Streaming using Spark or Flink or Kafka or NoSQL

• experience working with Dimensional Data Model and pipelines in relation with the same

• Intermediate level experience/knowledge in at least one scripting language (Python, Perl, JavaScript)

• Hands on design experience with data pipelines, joining data between structured and unstructured data

• Familiarity of SAS programming will be a plus

Job Family Group:

Technology

Job Family:

Data Analytics

Time Type:

Full time

Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.